use-jev

[Jev](https://typesafe.ai) is a newly released general classifier. Give it text or application state and typed questions; it returns decisions and probabilities your code can use for routing, ranking, extraction, or verification. Read the upstream [llms.txt](https://docs.typesafe.ai/llms.txt) to find current documentation, then follow the pages relevant to the task: - [Use cases](https://docs.typesafe.ai/concepts/use-case-map.md): explore applications; see worked examples for [function calling](https://docs.typesafe.ai/cookbooks/function_calling.md), [reranking](https://docs.typesafe.ai/cookbooks/rerank_typesafe.md), and [citation checks](https://docs.typesafe.ai/cookbooks/citation_check.md). - [Best practices](https://docs.typesafe.ai/concepts/how-to-build-with-system-one.md): provide relevant state, ask focused questions, define clear criteria, and batch independent questions. Keep workflow logic in code. - [Confidence](https://docs.typesafe.ai/confidence.md): use uncertainty to decide when to escalate, and validate thresholds on representative data. - [Python SDK](https://docs.typesafe.ai/sdk/python.md), [JavaScript SDK](https://docs.typesafe.ai/sdk/javascript.md), or [HTTP API](https://docs.typesafe.ai/api.md): read before integrating. ## Choice, Score, and Noul | Primitive | Example use | Result | | --- | --- | --- | | [Choice](https://docs.typesafe.ai/primitives/choice.md) | Route a support request to a team | One option, option probabilities, and confidence | | [Score](https://docs.typesafe.ai/primitives/score.md) | Rate a bug's impact | Probability-weighted position on ordered levels, plus confidence | | [Noul](https://docs.typesafe.ai/primitives/noul.md) | Check whether a refund is requested | Probability of yes; 0.5 means uncertainty, not medium intensity | Install `typesafe-sdk` and check that `JEV_API_KEY` is set in the environment, otherwise ask the user to provide it. This Python example asks one question of each type in a single call: ```python import os from typesafe_sdk import Choice, Noul, Score, TypeSafeClient with TypeSafeClient(api_key=os.environ["JEV_API_KEY"]) as client: result = client.system_one( state={"ticket": "PDF export fails, but CSV works. Please refund this month."}, questions={ "team": Choice( instructions="Which team should handle the main issue in the ticket?", criteria={"billing": "Charges and payments", "technical": "Broken product features", "other": "Neither"}, ), "impact": Score( instructions="How much does the reported bug affect functionality?", criteria=["Cosmetic only", "Feature broken; workaround available", "Work blocked; no workaround available"], ), "refund": Noul(instructions="Does the ticket explicitly request a refund?"), }, ) print(result.choices["team"].choice) print(result.scores["impact"].score) print(result.nouls["refund"].noul) ```